Smartphone-based sensitive detection of SARS-CoV-2 from saline gargle samples via flow profile analysis on a paper microfluidic chip.
Smartphone-based sensitive detection of SARS-CoV-2 from saline gargle samples via flow profile analysis on a paper microfluidic chip.
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基于纸质微流控芯片的盐水含漱液中SARS-CoV-2的智能手机灵敏检测
DOI：
10.1016/j.bios.2022.114192
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发表时间：
2022-07-01
影响因子：
12.6
通讯作者：
Yoon JY
中科院分区：
文献类型：
--
作者：
Akarapipad P;Kaarj K;Breshears LE;Sosnowski K;Baker J;Nguyen BT;Eades C;Uhrlaub JL;Quirk G;Nikolich-Žugich J;Worobey M;Yoon JY
呼吸道病毒，特别是冠状病毒，在过去几十年中导致了世界范围的大流行。基于唾液的纸微流控检测为非侵入性和快速筛查提供了机会，但样品基质和检测方法都面临着独特的挑战。在这项工作中，我们证明了从唾液样本中快速灵敏地检测SARS-CoV-2，这可能比现有方法更简单，更舒适。此外，我们系统地研究了影响检测性能的唾液样本的组分。仅使用智能手机，抗体缀合的颗粒悬浮液和纸质微流体芯片，我们以最少的处理使该测定变得用户友好。与先前建立的仅依赖于流速或距离的流速测定不同，这种独特的测定分析流速曲线以确定感染状态。颗粒靶向免疫凝集改变了表面张力和随后的毛细血管流速分布。智能手机摄像头使用Python脚本自动测量流量剖面，不受环境光变化的影响。1%唾液样本的检出限（LOD）为1 fg/μL SARS-CoV-2，模拟盐水漱口液样本（15%唾液和0.9%盐水）的检出限为10 fg/μL。如使用甲型H1N1流感所证明的，该方法具有高度特异性。样品至应答测定时间<15分钟，包括<1分钟的毛细管流动时间。使用相对干净的临床盐水漱口液样本，总体准确率为89%。尽管在浑浊的临床样本中存在一些局限性，但该方法提供了一种潜在的解决方案，用于在任何传染病爆发期间，一旦抗体可用，快速大规模检测技术。
Respiratory viruses, especially coronaviruses, have resulted in worldwide pandemics in the past couple of decades. Saliva-based paper microfluidic assays represent an opportunity for noninvasive and rapid screening, yet both the sample matrix and test method come with unique challenges. In this work, we demonstrated the rapid and sensitive detection of SARS-CoV-2 from saliva samples, which could be simpler and more comfortable for patients than existing methods. Furthermore, we systematically investigated the components of saliva samples that affected assay performance. Using only a smartphone, an antibody-conjugated particle suspension, and a paper microfluidic chip, we made the assay user-friendly with minimal processing. Unlike the previously established flow rate assays that depended solely on the flow rate or distance, this unique assay analyzes the flow profile to determine infection status. Particle-target immunoagglutination changed the surface tension and subsequently the capillary flow velocity profile. A smartphone camera automatically measured the flow profile using a Python script, which was not affected by ambient light variations. The limit of detection (LOD) was 1 fg/μL SARS-CoV-2 from 1% saliva samples and 10 fg/μL from simulated saline gargle samples (15% saliva and 0.9% saline). This method was highly specific as demonstrated using influenza A/H1N1. The sample-to-answer assay time was <15 min, including <1-min capillary flow time. The overall accuracy was 89% with relatively clean clinical saline gargle samples. Despite some limitations with turbid clinical samples, this method presents a potential solution for rapid mass testing techniques during any infectious disease outbreak as soon as the antibodies become available.
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